FactoClass: Combination of Factorial Methods and Cluster Analysis
Version 1.2.4

Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. The function 'kmeansW', a modification of 'kmeans', programmed in C++, is included, in order to permit to have different weights of the elements to be clustered. Some complementary functions and datasets are included. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statistique Exploratoire Multidimensionnelle, Dunod, Paris.

Getting started

Package details

AuthorCampo Elias Pardo <[email protected]>, Pedro Cesar del Campo <[email protected]> and Camilo Jose Torres <[email protected]>, with the contributions from. Ivan Diaz <[email protected]>, Mauricio Sadinle <[email protected]>, Jhonathan Medina <[email protected]>.
Date of publication2018-03-01 17:54:42 UTC
MaintainerCampo Elias Pardo <[email protected]>
LicenseGPL (>= 2)
Version1.2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FactoClass")

Try the FactoClass package in your browser

Any scripts or data that you put into this service are public.

FactoClass documentation built on March 18, 2018, 1:37 p.m.